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Risk management is a critical core process of a financial corporation, which has been attracted more attention by the governors since The Financial Crisis. New regulations require more strict control over corporation's risk, which needs data of better quality. In this paper, we propose a comprehensive framework for risk data quality management. New data… (More)

Data streams are very important for many applications in different areas. Compared to the traditional data in RDBMS, data streams have different characteristics such as unlimited data size, high data speed, and flexible time intervals. In this paper, we introduce a stream cube structure to organize the aggregations of stream data. The main idea is building… (More)